similar to: Retrieving sample points

Hi, I run into problem when writing a syntax, I don't know syntax that will return true or false if an integer is odd or even. Thanks OYEYEMI, Gafar Matanmi Department of Statistics University of Ilorin P.M.B 1515 Ilorin, Kwara State Nigeria Tel: +2348052278655 Tel: +2348068241885 [[alternative HTML version deleted]]

Dear R-users,                       I have problem or at cross-road on using discrminant analysis for my set of data. All my dependent variables are all categorical, hence the normalty assumption is no longer valid. Is it still right to use discrminant analysis or is there any non-parametric technique or approach to discriminant analysis? Thanks OYEYEMI, Gafar Matanmi Department of Statistics

Dear R-helpers                         I am having problem or reservation analyzing my data using discrminant analysis. The problem is that all my dependent variables are categorical which means that the normalty assumption is no longer valid. Can one still use discrminant analysis for such data? Is there non-parametric technique of doing discrminant analysis in R. Thanks  OYEYEMI, Gafar

I am trying to read a csv file using the code; contol <- read.csv("RBS.csv") This is the error message I got; Error in file(file, "r") : unable to open connection In addition: Warning message: In file(file, "r") : cannot open file 'RBS.csv', reason 'No such file or directory' Where was the mistake? -- OYEYEMI, Gafar Matanmi (Ph.D) Senior

Hello, (Apologies for length, wanted to get all the relevant detail in that I know of). I've been having a lot of trouble with some code for an inventory analysis problem I was doing, and finally came to the conclusion that it appears that choose() is returning incorrect values. Specifically: ------------- Browse[1]> nn [1] 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3

Dear R user: I have got the following problem: I have imported two data sets into R: one set includes price information, another one includes volume information. but I noticed the wrong data order problem in the product name, for instance, in one data set, "GALAXY ACE S 5830" in another one, it is "S 5830 GALAXY ACE" both represent same product. how do i map two name

Dear All The problem is about regularization methods in multiple regression when the independent variables are collinear. A modified regularization method with two tuning parameters l1 and l2 and their product l1*l2 (Lambda 1 and Lambda 2) such that l1 takes care of ridge property and l2 takes care of LASSO property is proposed The proposed method is given

Hola! I am programming a class (S3) "symarray" for storing the results of functions symmetric in its k arguments. Intended use is for association indices for more than two variables, for instance coresistivity against antibiotics. There is one programming problem I haven't solved, making an inverse of the index function indx() --- se code below. It could for instance return the

How can I efficiently index all choose(m, k) subsets of m items taken k at a time? For example, with (m, k) = (3, 2), the subsets are (1, 2), (1, 3), and (2, 3). I'd like a function something like "index.subsets(subset, k, m)" that would return 1, 2 or 3 for these 3 subsets. Examples: index.subsets(c(1,2), 2, 3) -> 1 index.subsets(c(1,3), 2, 3) -> 2

It seems people are reinventing the wheel here: The goal is to generate all combinations of 1:n of size k. This (typically) results in a matrix of size k * choose(n,k) i.e. needs O(n ^ k) space, hence is only applicable to relatively small k. Then alternatives have been devised to generate the combinations "one by one", and I think I remember there has been a quiz/challenge about 20